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SSRN 2025年

作者： Liu, Yang Xie, Yushan Wang, Yabin Cen, Mingxiang Wang, Yongqiang Guo, Jialong Chen, Zhengguang School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing100081 China

With increasing emphasis on granular flow mechanisms and precise flow control, studying the behavior of powder particles in micro-hoppers using microfluidic chips extends research scope to the mesoscopic scale. This approach enhances our understanding of local particle behavior through high-speed imaging and flexible geometry design. In this work, we employed discrete element method (DEM) simulations and experiments to investigate granular flow within microfluidic chips, applying centrifugal force to deliver continuous and adjustable driving forces. We mainly explored two micro-hopper geometries filled with zirconium oxide (ZrO2) spherical micro-particles: wedge-shaped and arc-shaped geometries. Effect of the micro-hopper height and the outlet width were investigated as well. Blockage could be observed for the 45° wedge-shaped micro-hopper (WSMH) when the outlet width [[EQUATION]] is less than 3.8 times the particle diameter ([[EQUATION]]). Comparative analysis demonstrates a 40-70% enhancement in mass discharge rate (MDR) for the arc-shaped micro-hopper (ASMH) over the WSMH, due to optimized stress redistribution. A scaling relation between the microchannel width (equivalent to the outlet width of the micro-hopper) and the MDR was established. Experimentally, we introduced a method for fabricating the micro-hopper, employing a high-speed rotating platform (3000 rpm) to drive micro-particle motion, while high-speed cameras enabled real-time flow observation. Experimental results of the interval MDR demonstrated considerable consistency with the simulation. The approach for studying granular flow in microfluidic chips under controlled driving forces offers a new paradigm for investigating both overall and local behaviors of powder particles, thereby advancing our understanding of particle interactions and collective dynamics. © 2025, The Authors. All rights reserved.

关键词： Microfluidic chips

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FasterSal: Robust and Real-Time Single-Stream Architecture for RGB-D Salient Object Detection

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IEEE Transactions on Multimedia 2025年 27卷 2477-2488页

作者： Zhang, Jin Zhang, Ruiheng Xu, Lixin Lu, Xiankai Yu, Yushu Xu, Min Zhao, He Beijing Institute of Technology State Key Laboratory of Electromechanical Dynamic Control School of Mechatronical Engineering Beijing100081 China Shandong University School of Software Jinan250101 China University of Technology Sydney School of Electrical and Data Engineering SydneyNSW2007 Australia University of Liverpool Department of Eye and Vision Sciences LiverpoolL69 7ZX United Kingdom

RGB-D Salient Object Detection (SOD) aims to segment the most prominent areas and objects in a given pair of RGB and depth images. Most current models adopt a dual-stream structure to extract information from both RGB and depth images. However, this leads to an exponential increase in the number of parameters and computations in the model. Moreover, the discrepancy between RGB pretrained and the 3D geometric relationships in depth maps present a challenge for the encoder in capturing spatial structural details. These issues impact the model's accuracy in locating salient objects and distinguishing edge details. To address these, we propose a novel early feature fusion network, named FasterSal, which enables more efficient RGB-D SOD. FasterSal uses a single stream structure to receive RGB images and depth maps, extracting features based on the 3D geometric relationships in the depth map while fully leveraging the pretrained RGB encoder. This approach effectively avoids the inconsistencies between depth modality and the RGB pretrained encoder. It also significantly reduces the number of network parameters while maintaining efficient feature encoding capabilities. To achieve finer edge learning, the detail-aware loss and texture enhancement module are introduced. These modules are designed to extract latent details in high-frequency component features and to enhance the edge learning capability of the model using distance information. Experimental results on several benchmark datasets confirm the effectiveness and superiority of our method over the state-of-the-art approaches, achieving a good balance between performance and speed with only 3.4 million parameters and a CPU operating speed of 63 FPS. © 1999-2012 IEEE.

关键词： Image segmentation

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Research on Stability of Cutting System of Shield Driving Robot in Semi-coal Rock Roadway Under Complex Geological Conditions 2nd

Research on Stability of Cutting System of Shield Driving Ro...

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2nd International Conference on the Frontiers of Robotics and Software Engineering, FRSE 2024

作者： Xue, Limeng Wang, Chuanwei School of Mechanical Engineering Xi’an University of Science and Technology Xi’an710054 China Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control Xi’an710054 China

ISBN: (纸本)9789819630127

Aiming at the problems of stability and efficiency of full-width cross-axis cutting in large section semi-coal rock roadway under complex geological conditions, a shield type intelligent driving robot system is developed, and a new shield type full-width cross-axis cutting system was proposed. The body structure model of the cutting system was constructed, and the mechanical model of the full-width transverse axis drum of the cutting system, the mechanical coupling model of "cutting robot - rectangular shield - top and bottom wall rock", and the force transfer mechanism in the cutting process of the drum were established. The stability condition of the cutting system is determined according to the relationship between the stability moment and the jumping moment of the cutting system, and the stability coefficient model of the cutting system when the shield and the roof are coupled is established. The Adams simulation model of the cutting system is established, and the cutting performance of the coal rock with hardness of f6 is simulated, and the stability coefficient is always greater than 1.1. The simulation and industrial test results show that the shield type full width transverse axis cutting system has characteristics of good stability, cutting efficiency and high forming quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Intelligent robots

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Research on Fault Diagnosis Method for Rolling Bearings Based on Improved ConvNext V2

Research on Fault Diagnosis Method for Rolling Bearings Base...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Qin, Feifan Zhang, Chao Wang, Jianguo Wu, Le Wu, Yangbiao Ouyang, Bing Liu, Guiyi College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031734069

Aiming to address issues such as insensitivity to fault characteristics, inadequate feature extraction, and susceptibility to external environmental interference in traditional bearing fault diagnosis methods, an improved approach to rolling bearing fault diagnosis based on ConvNext V2 is proposed. Firstly, leveraging the advantages of wavelet time-frequency analysis, one-dimensional vibration signals collected from the experimental setup are transformed into two-dimensional images containing abundant time-frequency information using continuous wavelet transform. Secondly, the next-generation convolutional neural network ConvNext V2 is introduced as the underlying network for rolling bearing fault diagnosis, and the Efficient Channel Attention (ECA) network is incorporated to enhance the feature extraction capability of the Block module in the base network. Subsequently, the wavelet time-frequency images are used as feature map inputs to the improved ConvNext V2 network for training, enabling the diagnosis and recognition of rolling bearing faults. Finally, experimental results demonstrate that the proposed method exhibits good fault recognition accuracy and stability in laboratory data, with high generalization capability, thereby offering a new solution for rolling bearing fault diagnosis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Roller bearings

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Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology:Case insights and methodological advances

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International Journal of Mining science and technology 2025年第4期35卷 619-638页

作者： Yanan Qian Ting Liu Cheng Zhai Hongda Wen Yuebing Zhang Menghao Zheng Hexiang Xu Dongyong Xing Xinke Gan State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou 221116China Yunlong Lake Laboratory of Deep Underground Science and Engineering Xuzhou 221003China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Emergency Management Chengdu UniversityChengdu 610106China School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Xinjiang Yaxin Coalbed Methane 156 Exploration Co. Ltd.Urumqi 841100China

Through a case analysis,this study examines the spatiotemporal evolution of microseismic(MS)events,energy characteristics,volumetric features,and fracture network development in surface well hydraulic fracturing.A total of 349 MS events were analyzed across different fracturing sections,revealing significant heterogeneity in fracture *** scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections,indicating notable *** reservoir volume(SRV)analysis demonstrated well-developed fracture networks in certain sections,with a total SRV exceeding 1540000 m^(3).The hydraulic fracture network analysis revealed that during the midfracturing stage,the density and spatial extent of MS events significantly increased,indicating rapid fracture propagation and the formation of complex *** the later stage,the number of secondary fractures near fracture edges decreased,and the fracture network *** comparing the branching index,fracture length,width,height,and SRV values across different fracturing sections,Sections No.1 and No.8 showed the best performance,with high MS event densities,extensive fracture networks,and significant energy ***,Sections No.4 and No.5 exhibited sparse MS activity and poor fracture connectivity,indicating suboptimal stimulation effectiveness.

关键词： Hydraulic fracturing Microseismic Source location Energy scanning Fracture network

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The Slippage Model of Outer Ring Faults in Deep Groove Ball Bearings Induced by Impact Forces Under Load

The Slippage Model of Outer Ring Faults in Deep Groove Ball ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wu, Yangbiao Zhang, Chao Liu, Guiyi Wu, Le Ouyang, Bing Qin, Feifan School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (纸本)9783031734069

The study of fault mechanisms plays a crucial role in the field of fault diagnosis. The phenomenon of rolling element slippage is inevitable. In order to more accurately describe the phenomenon of rolling element slippage in the defective area, this paper employs the instantaneous center method and the theorem of three centers to represent the centerline velocity of the rolling element. Due to the change in linear velocity when the rolling element slips, the magnitude of the impact force is calculated according to the principle of collision. Finally, focusing on deep groove ball bearings as the research object, a fault dynamic model is established to simulate the slippage of the rolling element after being subjected to impact force in the defective area. The model is solved using the fourth-order Runge-Kutta method, and the results are simulated. Through experimental simulation analysis, the fault characteristic frequencies obtained from the proposed model are compared with theoretical values, with errors falling within the range of 1 to 2 Hz. Therefore, this provides preliminary validation of the correctness of the proposed model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep groove ball bearings

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Error Modeling Method for BeiDou Satellite Receivers Based on Long Short-Term Memory Neural Networks 24

Error Modeling Method for BeiDou Satellite Receivers Based o...

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Proceedings of the 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis

作者： Boda Li Hongsen Ji Guotai Xu Keyu Qi Ziyang Lin Shuo Zhang Xi'an Institute of Electromechanical Information Technology Xi'an Shaanxi China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an Institute of Electromechanical Information Technology Xi'an Shaanxi China School of Mechatronical Engineering of Beijing Institute of Technology Beijing China Liao Shen Industries Group Co LTD Shenyang Liaoning China

ISBN: (纸本)9798400711831

In response to the influence of errors in the BeiDou satellite receiver on the precision correction fuze in two-dimensional correction munitions during accurate weapon strikes, this study proposes a BeiDou satellite receiver positioning error compensation model based on Long Short-Term Memory (LSTM) networks. By analyzing radar data from flight tests and the measurement data retrieved from recovered projectiles, the receiver error sequence is isolated. Considering the relationship between the receiver and its dynamic characteristic parameters, an error prediction model based on LSTM is established. The model takes the dynamic characteristic parameters of Beidou satellite receiver as input and the error sequence of each dynamic parameter as output to supplement the missing error sequence and compensate the error. The results show that the model can effectively predict receiver errors and reduce the maximum errors of position and speed. Through Monte Carlo simulation, error compensation effectively improves the accuracy of projectile correction, and verifies the effectiveness of the model. This error compensation method can effectively improve the accuracy and combat effectiveness of two-dimensional trajectory correction control

关键词： BeiDou satellite receiver

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Intelligent multi-component fault diagnosis method driven by vibration-mapped images of mechanical transmission system

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Zhendong yu Chongji/Journal of Vibration and Shock 2025年第12期44卷 201-211页

作者： Fan, Hongwei Zhang, Teng Xu, Haowen Li, Qingshan Chen, Buran Li, Pengfei School of Mechanical Engineering Xi'an University of Science and Technology Xi'an710054 China Key Laboratory of Intelligent Detection and Control of Mining Electromechanical Equipment of Shaanxi Province Xi'an710054 China

In order to realize the intelligent multi-component fault diagnosis of bearings, rotors and gears in a mechanical transmission system under low speed, weak faults and few measurement points, a fault diagnosis method based on improved vibration-mapped gray texture images (GTIs) and multi-scale lightweight convolutional neural network was proposed. An improved gray texture image with enhanced features was obtained by robust local binary pattern (RLBP) on the traditional gray image. Based on the standard convolutional neural network (CNN), a multi-scale lightweight CNN (MSLCNN) model was constructed by adding batch normalization, multi-scale convolution and simplified full connection layer. The fault diagnosis experiment under 700 r/min and a single measurement point was designed, and seven typical faults of bearings, rotors and gears were simulated. The investigation shows that the model parameters of the proposed fault diagnosis method are 0.30 M, the floating point operations (FLOPs) are 127.22 M, the model size is 1. 17 MB, and the average diagnostic accuracy is 98.42%. It provides a new feasible approach for the data-driven multi-component fault diagnosis of the mechanical transmission system based on the deep learning. © 2025 Chinese Vibration Engineering Society. All rights reserved.

关键词： Convolutional neural networks

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CapUBS: Capsule Network-Based Band Selection for Underwater Hyperspectral Imagery

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Li, Qi Wang, Junwen Zu, Xingyuan Chen, Dan Zhang, Ke Li, Jinghua Northwestern Polytechnical University School of Electronics and Information Xi’an710072 China Xi’an University of Technology School of Automation and Information Engineering Xi’an710048 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an China

Underwater hyperspectral imagery (HSI) finds extensive applications in critical domains such as marine target detection. However, spectral offset caused by underwater light propagation presents significant challenges for existing hyperspectral band selection methods, which often fail to capture inter-band correlations in underwater environments effectively. To address this issue, this paper proposes a novel underwater hyperspectral band selection method based on capsule network (CapUBS) designed to mitigate spectral offset variations and reduce redundancy in band selection for underwater HSI. Especially, the dual-stream latent variable encoding module takes the original and averaged spectra as inputs and employs deep feature extraction blocks to capture local details and global semantic features, thereby alleviating spectral variability. The capsule network-based band characterization module utilizes a dynamic routing mechanism to generate digital capsules representing joint multiband features. This module characterizes the multi-dimensional spectral attributes via vector directions and quantifies the relative importance of spectral bands using vector norms. The feature separation factor evaluation module computes the initial band importance ranking to refine the selection process further. It evaluates a feature separation factor to identify key bands with minimal redundancy and high representativeness, resulting in an optimal subset of spectral bands. Finally, the key band feature reconstruction module leverages these selected bands to reconstruct the full-band spectrum accurately. Comprehensive quantitative and qualitative analyses conducted on four classical hyperspectral datasets and underwater hyperspectral experimental datasets demonstrate the superior performance of the proposed method compared to state-of-the-art techniques. © 1980-2012 IEEE.

关键词： Network coding

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PLLA-PEG/mPEG Copolymer with Improved Hydrophilicity, Crystallinity, and Biocompatibility: An In-Depth Study on the Crystallization Kinetics

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ACS Applied Materials and Interfaces 2025年第20期17卷 30067-30080页

作者： Lian, Ruixian Zhou, Dong Xiao, Lan Rodrigues, João Sheng, Ruilong Bai, Zhishan Li, Yulin Liu, Changsheng The Key Laboratory for Ultrafine Materials of Ministry of Education Engineering Research Centre for Biomedical Materials of Ministry of Education Frontiers Science Center for Materiobiology and Dynamic Chemistry School of Materials Science and Engineering East China University of Science and Technology Shanghai200237 China Wenzhou Key Laboratory of Tissue Regeneration Medical Materials Wenzhou Institute of Shanghai University Wenzhou325000 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Mechanical and Power Engineering East China University of Science and Technology Shanghai200237 China School of Medicine and Dentistry Griffith University QLD4222 Australia CQM-Centro de Química da Madeira MMRG Universidade da Madeira Campus da Penteada Madeira Funchal9000-390 Portugal

Poly(lactic acid) (PLA) possesses excellent biocompatibility and biodegradability for the construction of biomaterials. However, its limited crystallinity largely restricts practical application. In this study, four poly(l-lactic acid) (PLLA) copolymers were synthesized by incorporating two different molecular weights of PEG/mPEG (1K and 2K) chains with l-lactide via ring-opening polymerization (ROP). The impact of PEG/mPEG chains on the hydrophilicity and mechanical properties of the resulting copolymers, their crystallization kinetics, and activation energy was also examined. The results demonstrate that introducing PEG/mPEG chains could significantly improve the hydrophilicity, crystallinity, and crystallization rate and reduce the maximum crystallization temperature of the copolymer materials. Among the PLLA copolymers, PLLA-mPEG (2K) exhibits the most remarkable improvements in polymer crystallinity, crystallization rate, and reduction of the maximum crystallization temperature. The advancements in copolymer material properties were anticipated to significantly expand the potential applications for PLLA-based polymer materials, which also greatly improved the applicability as sustainable and controllable biopolymer materials. © 2025 American Chemical Society.

关键词： Biocompatibility

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